The Future of Education

Edition 15

Accepted Abstracts

AI as a Teaching Assistant: How AI Can Support EFL Educators in Lesson Planning and Assessment

Meryem Fati, Arab Open University (Bahrain)

Abstract

As artificial intelligence (AI) continues to transform education, English as a Foreign Language (EFL) educators are increasingly exploring its potential to enhance lesson planning, assessment, and personalized learning. AI-powered tools can automate administrative tasks, provide real-time feedback, and tailor content to individual learners, allowing teachers to focus on fostering student engagement and critical thinking (Luckin et al., 2018). However, while AI offers significant advantages, concerns about ethical implications, data privacy, and overreliance on AI-generated content persist (Zawacki-Richter et al., 2019).

This presentation will examine the role of AI in EFL teaching, focusing on its practical applications in lesson design, assessment automation, and adaptive learning. Research has shown that AI-assisted assessment tools can enhance grading efficiency and provide students with instant, detailed feedback, leading to improved learning outcomes (Wang & Tahiru, 2022). Additionally, AI-driven language models, such as ChatGPT and Grammarly, support educators by generating learning materials, correcting grammar and vocabulary errors, and suggesting pedagogical strategies tailored to student needs (Ranalli, 2022). Despite these benefits, educators must adopt AI responsibly, ensuring that human oversight and pedagogical soundness remain central to language instruction.

Keywords

Please indicate from 2 to 6 keywords [Arial, 9-point, italic]

 

REFERENCES

[1] Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2018). Artificial Intelligence and Education: Promises and Implications for Teaching and Learning. Centre for Education and Technology, UCL Institute of Education.

[2] Ranalli, J. (2022). AI-powered writing assistance for second language learning: Insights and implications. Language Learning & Technology, 26(1), 1–24.

[3] Wang, Y., & Tahiru, F. (2022). Exploring the impact of AI-powered assessment tools in higher education. Computers & Education, 181, 104447.

[4] Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education. International Journal of Educational Technology in Higher Education, 16(1), 39.

 

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